
AI Learning Lab
1/15/2025 - ChatGPT Movie Magic: Generate Unique Cinematic Shots

Live Stream2025-01-161:45:2298 views
Description
Kyle Shannon, CEO of Storyvine, discusses AI tools and their creative potential, focusing on Luma Labs' Dream Machine and OpenAI's ChatGPT. He explores the use of AI for generating video prompts based on famous movie scenes, aiming to streamline the creative process. He demonstrates how AI can adapt and refine prompts, generating novel variations of cinematic shots and emphasizing the importance of curiosity and adaptability in the age of AI. He also showcases ChatGPT's new "tasks" feature, automating tasks like delivering daily news summaries and cocktail recipes.
Shannon highlights the shift in creative work, suggesting AI can handle the "brute force" ideation while humans curate and refine the output. He argues against the notion of AI lacking creativity, likening its process to human brainstorming and idea generation, albeit faster. He experiments with generating different video clips, including scenes inspired by *Apocalypse Now*, *Blade Runner*, and *Seven*. He also demonstrates the use of GPT-4's vision capabilities to interpret handwritten journal entries and generate writing prompts. Finally, he touches upon the rumors surrounding TikTok's potential ban and the speculation of various buyers.
Connect with Kyle and the AI Learning Lab on TikTok: https://tiktok.com/@aiLearningLab.
#AI #generativeAI #video #chatgpt #creativity #cinematography #automation #promptengineering
Chapters:
00:00:00 Intro And Music
00:02:22 Kelly Camp DQ Blizzard Story
00:03:59 Advanced Voice And ChatGPT Issues
00:06:58 TikTok Concerns And Future
00:09:02 Storyvine Introduction
00:10:06 David Shapiro Block Explained
00:12:41 ChatGPT Issues And Runway
00:16:13 Underwater AI Physics
00:20:30 David Shapiro Block Revisited
00:22:01 AI Model Comparisons
00:24:06 New Daily Listen Experiment
00:27:20 Ford Flex Discussion Continues
00:30:02 Future Job Skills And AI
00:33:38 Runway AI Access And Grading
00:39:03 Gemini Deep Research Explained
00:43:48 Underwater AI Physics Demo
00:48:43 Famous Movie Scenes Prompts
00:56:29 Cinematic Prompts And Creativity
01:02:08 Color Grading Styles Applied
01:11:34 Future Job Skills And AI
01:22:16 Scheduled Tasks Feature Demo
01:38:17 Show Conclusion And Outro
Chapters
0:00Intro And Music2:22Kelly Camp DQ Blizzard Story3:59Advanced Voice And ChatGPT Issues6:58TikTok Concerns And Future9:02Storyvine Introduction10:06David Shapiro Block Explained12:41ChatGPT Issues And Runway16:13Underwater AI Physics20:30David Shapiro Block Revisited22:01AI Model Comparisons24:06New Daily Listen Experiment27:20Ford Flex Discussion Continues30:02Future Job Skills And AI33:38Runway AI Access And Grading39:03Gemini Deep Research Explained43:48Underwater AI Physics Demo48:43Famous Movie Scenes Prompts56:29Cinematic Prompts And Creativity1:02:08Color Grading Styles Applied1:11:34Future Job Skills And AI1:22:16Scheduled Tasks Feature Demo1:38:17Show Conclusion And Outro
Transcript
0:03 [Music] 0:10 oh 0:15 [Music] 0:30 [Music] 0:37 wait hang on something's going on 0:42 here why is that not going oh there it 0:44 goes okay 0:46 [Music] 0:54 [Music] 1:04 a heart on a run keeps a hand on the gun 1:08 you can't trust 1:13 anyone well I'm so sure what I needed 1:17 was more tried to shoot out the 1:22 sun in days when we R we flew off the 1:27 page such damage was 1:33 but I made it 1:35 through somebody knew I was meant for 1:43 someone so girl leave your boots by the 1:46 bed we ain't leaving this 1:49 [Music] 1:52 room to someone need medical help all 1:57 the 1:58 magnas blue 2:00 [Music] 2:03 it's cold in this house and I ain't 2:06 going out to 2:10 job so cover me up cover me up and know 2:16 you're enough to use me for 2:22 good DQ Blizzard oh no by the way this 2:27 is Kelly Camp DQ Blizzard one 2:30 is Kelly Camp lost my Tick Tock talk 2:34 Tick Tock account 2:37 today oh that's 2:40 awful well we're all about to lose our 2:42 Tik Tok accounts Sunday so show off look 2:47 at Kelly just always Happ to be the 2:49 early 2:50 adopter losing her losing her Tik to 2:53 Tock account before the rest of us show 2:55 off that's just 2:58 bad Kyle what type type of car do you 3:01 drive a Ford Flex and that's not a 3:09 joke I like to call the Ford Flex like a 3:11 hip 3:14 hearse if hses were hip that would be 3:17 the Ford 3:19 Flex what kind of car do you drive I'm 3:22 having a power struggle with advanced 3:24 voice lately well yeah that happens 3:27 something's up with Tik Tok or with uh 3:29 chat GPT 3:31 I was doing a um an exercise with Nate 3:34 St Pierre two days 3:37 ago and he had a um a custom GPT that 3:40 did script analysis stuff and and we got 3:43 it to we got it to do some good work but 3:45 he he said it was acting weird it just 3:47 wasn't acting like 3:49 itself it was giving very generic 3:51 answers very short answers so I have a 3:54 feeling they're mucking with something 3:56 over there at at the chat GPT and I 3:58 don't know why I'm sort of hiccuping 4:00 sort 4:04 of advanced voice never works anymore 4:07 yeah I just okay so a couple of things 4:09 couple of things about open AI that we 4:12 have learned over the two years 4:14 here by the way am I am I live where I'm 4:17 supposed to be live I'm Live on YouTube 4:19 everyone's saying hi over there hello oh 4:21 let me let me add the black bar for the 4:23 Tik Tok 4:25 people something's going on in the 4:27 background of chat gbt yeah so here's 4:28 what we know about about open Ai and 4:31 chat gbt for the most part I me I mean 4:35 there's a couple of times where it just 4:37 gets wonky and [ __ ] goes down that's 4:39 happened I don't know three or four 4:40 times since I've been using it which is 4:44 since day 4:46 one so generally very stable 4:49 however when they are upgrading things 4:52 when they are rolling out new software 4:54 when they are probably likely upgrading 4:57 servers or rebalancing server load or 5:00 whatever you do to do [ __ ] P probably 5:03 knows this better than anyone in 5:06 here uh in general right before they 5:10 launch something 5:12 new Chachi BT gets [ __ ] weird it just 5:15 gets 5:16 shittier and I've seen it pretty 5:18 consistently now there are sometimes 5:20 where chat GPT is just shitty and weird 5:23 and then there are other times where 5:24 it's like shittier and 5:27 weirder and you're asking and I think 5:30 rightly so is weirder ear a word oh it 5:34 is ask Vicki Vicki knows Vicky Baptist 5:37 knows weird is a word it's uh it's dutch 5:41 in origin in 5:42 [Music] 5:48 fact is it cheating when I turn to py 5:51 Gemini from advanced 5:53 voice any updates with David Shapiro no 5:57 he still hates me 6:00 um I realized I I realized a behavior I 6:04 did that could be a reason he banned me 6:08 just because he's he's very particular 6:10 about [ __ ] that pisses him off 6:13 um sometimes when I write like an 6:15 original article or something I'll tag a 6:17 [ __ ] ton of people so I'll like right 6:20 hey here's this article I wrote that 6:21 I'll link to it and then I'll tag a 6:23 bunch of 6:24 people it's possible he hates that 6:27 behavior because he doesn't want to be 6:29 used to 6:31 um I don't 6:33 know Drive other people's content that's 6:36 the only thing I can think of but I mean 6:38 I never said anything controversial I've 6:40 always done things to support him so 6:42 whatever I I mean I I seriously don't 6:44 give a [ __ ] I'm not I'm not mad at him 6:45 in any way he's got his reasons and I'm 6:49 on the I'm on the target end of that for 6:50 whatever 6:51 [Music] 6:53 reason why did he block me I don't know 6:55 like I I literally don't know I've been 6:59 um quote posting a lot of his stuff I I 7:03 like did a whole session on a post that 7:05 he did three nights ago and then 7:08 yesterday I went to retweet something 7:11 and it basically said you can't this 7:12 creators blocked you so um it didn't use 7:15 the words go [ __ ] yourself but it was 7:19 implied 7:21 [Music] 7:49 Vicki doesn't want to take 7:50 responsibility for the word weirder ear 7:53 not 7:54 existing that's that's on 7:57 her not my responsibility that she can 8:00 or cannot confirm that weirder ear is a 8:03 word that's uh I just say the news right 8:07 it's for other people to uh to do their 8:09 own 8:11 [Music] 8:27 research picture of you driving a fort 8:30 Flex in the Irregulars oh why is this is 8:33 a bad 8:37 idea but let's go look at it this 8:40 channel is nothing but a series of bad 8:42 ideas brought to 8:44 [Laughter] 8:47 life we'll go to our little Club area 8:50 our new club area Irregulars slotting in 8:54 at number two oh very nice I like it 8:57 with the pink bow Ford Le from what year 9:02 1923 that's pretty 9:06 cool nice Danel I like it I'm 9:11 in oh if you don't know what the what 9:14 the uh the bow reference is look at that 9:18 huh you tell me that's not some special 9:21 piece of 9:23 magic all right welcome if you're from 9:25 LinkedIn my name is Kyle Shannon I'm the 9:27 co-founder and CEO of storyvine I'm very 9:30 serious 9:32 [Laughter] 9:39 [Music] 9:42 businessman 9:49 um so I wasn't allowed to talk about 9:51 this I got early access to the new um 9:54 Ray 9:56 2 um Luma laabs dream 10:01 machine um they have a new model out 10:04 called Ray 2 um it's pretty good it's 10:07 pretty good it's still janky and what's 10:09 weird is it's jankier for some things 10:13 than others which I guess makes 10:15 sense but I thought that one might be a 10:18 cool experiment tonight so I'm in the 10:21 Creator program for 10:24 Runway and for Luma and then I'm a I've 10:28 got a paid account account for 10:33 Korea and I thought what could be a cool 10:36 thing I I just went over to um Gemini 10:40 deep research which I also paid 10:43 for let's see if this did anything 10:53 good um let's 10:56 see give me 11:00 at 11:01 least 11:03 20 11:07 other 11:09 examples like camera 11:12 moves 11:14 fluids 11:16 um camera moves 11:20 fluids 11:22 actions 11:23 um 11:27 particles Etc 11:32 um so what I did with with Gemini deep 11:35 research here was I said go off and find 11:39 me um I want to test the 11:44 physics the physics of some of these 11:47 video Generations models 11:49 so go go give me examples of things that 11:52 I can test collisions of two fluids 11:55 objects floating in water so I'm going 11:57 to have this do some research and let it 11:59 because I'm sure somebody wrote articles 12:01 about this somewhere right so let's let 12:03 Gemini deep research go do some [ __ ] 12:05 research you know someone do some 12:07 [ __ ] work around here and it's we 12:09 know that it's not going to be me right 12:12 so oh I wasn't sharing that by the way 12:15 which you knew because you couldn't see 12:17 [ __ ] anyway so here here is uh this is 12:22 the the the Deep research thing what was 12:25 I looking at before I don't know it 12:26 doesn't [ __ ] matter all right so this 12:29 thing went out and it researched 11 12:33 websites um so that's great okay um uh 12:42 incorporate that 12:45 all into the 12:49 article 12:58 please like what I noticed in dream 13:09 machine things like underwater are 13:13 really bad so here's here's a whole 13:16 bunch of underwater 13:20 Clips see how [ __ ] weird they 13:24 are there's just like like people 13:27 underwater do not act normal 13:32 [Laughter] 13:35 I mean they're 13:36 funny like the water's super normal 13:39 looking but the people are [ __ ] 13:45 freaky right like it's like there's like 13:49 half a second where things are normal 13:51 and then everything else is [ __ ] 13:56 chaos and no one moves that fast 13:58 underwater so it doesn't get underwater 14:00 well but like it would be interesting to 14:03 grab this quote this prompt and go over 14:05 to Runway and see if it does underwater 14:07 better or if it interprets it completely 14:10 differently here's robots underwater 14:12 this is even 14:15 weirder these kind of scenes with 14:18 multiple people walking with guns it 14:21 does it it's this is like 14:24 5050 but like wouldn't it be cool to 14:26 just go take a bunch of prompts 14:29 and just go see like what's it do really 14:31 well what's it do not well like that was 14:35 normal until that weird weirdness like 14:38 that's good till there what the [ __ ] was 14:43 that not 14:46 normal guy just 14:52 appears now these guys are on top of 14:56 water that looks good that looks good 14:59 and it's a freak 15:01 [Laughter] 15:07 [Music] 15:10 Show oh nice Vicki that's awesome Vicki 15:14 is working on our AI Readiness 15:17 [Music] 15:19 curriculum all right oh I've got 15:22 a you just can't do everything around 15:25 here I didn't do the black bar for the 15:27 Tik Tock people they're probably all 15:28 angry over there 15:31 hey AIML music what's happening hope 15:34 you're 15:38 well now we chasing the Jank yeah I 15:40 think we're chasing the 15:41 Jank I well I mean here's the 15:45 thing okay so here's here's a real thing 15:49 because I have access to these two 15:51 Creator programs I'm trying to get into 15:53 Halo into minia max I'd like to be in 15:56 that one too because those those are the 15:58 top three that I can tell right 16:00 now or this new model from here let me 16:04 show you some good ones from from Luma 16:06 Labs there are a couple I got in here 16:08 that are quite 16:13 good 16:16 um some of the bags aren't 16:20 bad this one I thought was quite 16:27 good like the you know the flashlight 16:30 Beam with the particles in it and the 16:33 graffiti that looks pretty bitching and 16:36 doesn't look too 16:38 weird and then this one was done right 16:41 after that what what I also figur is I 16:43 could show you how I got to all these 16:46 cinematic shots which I think is kind of 16:48 fun what's the black bar for the black 16:50 bar is if I flip over to 16:54 streamyard see all this interface it's 16:56 harder to read the text so if I go to 16:59 the black bar it makes it easier for 17:00 people on Tik Tok to read Are you able 17:03 to try VO2 17:05 no because uh what's his name uh the 17:09 head of Google doesn't like me Sam 17:12 alman's jealous of me the CEO of Google 17:15 doesn't like me let's see where do I 17:19 have is it here no that's 17:24 repurposed uh uh uh uh what was I going 17:27 to do um 17:36 what was I 17:38 doing oh uh labs. goole.com 17:46 experiment see join weit list I got I do 17:50 not have video effects damn 17:53 it I'm Gumby damn 17:56 it pisses me off 18:01 so no I don't have access to vo and it 18:04 looks awesome gez Kyle what are you 18:07 doing to make all these people mad at 18:08 you I know right 18:13 [Music] 18:41 do I pay for repurpose yeah I paid for 18:43 repurpose for at least a month because I 18:46 used it to go grab all my Tik Tock 18:49 videos and throw them on Google Drive 18:52 and now I'm going to create a 18:54 uh a workflow to put them back on 18:58 YouTube 19:00 it's like it's just exhausting but you 19:04 know I put two years into making content 19:06 on this stupid [ __ ] platform so 19:08 they're just going to flush it down the 19:09 toilet I guess I should go get 19:13 it ail AIML music I've heard vo crushed 19:19 the competition including Sora uh Sora 19:22 right now I would put Sora at five at 19:27 the highest 19:29 it's right now it looks like vo and 19:32 minia Max are the two best 19:35 ones um this new Luma laabs Ray 2 is 19:40 pretty good um Runway is still pretty 19:44 good but you know it's kind of a tiar 19:46 down like I would say that vo's kind of 19:48 a tier on its 19:50 own let's call 19:52 vo 19:54 B+ let's call minia Max B 20:02 um Runway just because they're so 20:04 established and they have a bunch of 20:05 other [ __ ] going on is probably like a 20:09 C+ um Luma laabs Ray 2 is probably a C+ 20:14 runways probably like a c like that's 20:16 right like if we were giving them like 20:18 grade school 20:19 grades that's where I'd put them right 20:21 now and then I'd put Sora at kind of a c 20:24 minus but the Sora that they gave us is 20:28 the one that they demed last March it's 20:30 Sora 1.0 and they've been out demoing 20:33 Sora 2 but they haven't [ __ ] given it 20:36 to us why Sam alman's jealous of me 20:40 we've talked about this people we've 20:42 talked about this it's not my fault this 20:46 is just genetics it's a gift okay and 20:50 he's jealous he's jealous of the 20:52 intellect he's jealous of the wit and 20:55 he's jealous of all this can you blame 20:58 him 20:59 [Music] 21:00 so I don't you 21:03 know it is not for me to 21:06 brag about what I got going on that is 21:09 for other people to judge and apparently 21:12 Sam is 21:13 [Music] 21:22 [Applause] 21:24 petty haha that seems silly yes they're 21:28 jealous the talent the deep deep Talent 21:31 the talent she runs 21:33 deep Runway is 21:38 great you still want to sing there 21:40 champy 21:42 [Music] 22:01 I 22:04 secret 22:09 D you don't really care for music do 22:14 [Music] 22:17 you goes like this the 22:22 of fall 22:25 [Music] 22:33 champ you're supposed to sing harmony 22:34 there 22:39 hallelujah 22:40 [Music] 22:43 hallelujah 22:47 hallelujah hallelujah 22:51 [Music] 23:02 so again like this kind of talent is the 23:05 kind of stuff that that Mr Altman is 23:07 just deathly jealous of and I think it's 23:10 you know it's Petty it makes me sad 23:19 [Music] 23:24 inside Hallelujah get it I get it I get 23:28 it it's solid 23:30 if you're tuning in yes we'll get to AI 23:33 in a 23:35 moment oh yeah I haven't really 23:37 introduced myself have I how many people 23:38 are here is anyone here got a few folks 23:40 over there we got a few folks in here 23:42 it's a light night we're fine it's 23:44 mostly a regulars here tonight 23:47 um if you're new here though my name's 23:50 Kyle Shannon this is the AI learning lab 23:52 we like to have fun here no sorry I like 23:55 to have fun here and then other people 23:57 tolerate me 24:01 and yes we will occasionally get to AI 24:04 um here's what I am going to do tonight 24:06 we are going to do some 24:09 experimenting with video generation 24:12 tools in Physics and I'm going to show 24:14 you how I came up with a bunch of cool 24:17 prompts like that got things like that 24:21 and that well that uh failed to make 24:25 videos that made images 24:27 but still pretty cool oh I'm not sharing 24:31 God damn I can't I I really need a 24:36 producer really need a 24:40 producer Brandon is in Vegas Brandon's 24:43 in Vegas doing what you do in Vegas or 24:46 tasks from chat GPT yeah we can talk 24:48 about that new daily listen experiment 24:51 from Google like audio uh Halo also put 24:54 out a new uh audio generation text to 24:59 text to Audio model today with like 300 25:01 voices and and emotions and [ __ ] like 25:04 that so I don't know if we can play with 25:05 that but we can go look at that too um 25:08 anyway okay so like we got this this 25:10 cool thing is looking pretty 25:13 cool 25:14 [Music] 25:16 um that's not as cool this is not bad 25:19 it's a little 25:21 janky like that that was a little weird 25:24 that little camera move there and it's 25:26 it's kind of weird low resolution but 25:28 kind of cool then here's pictures that 25:31 it 25:33 made instead of making videos there's a 25:35 weird interface thing where sometimes 25:38 you make images and not like this looks 25:41 good till right there where they get 25:44 weird like that's what there's just 25:46 weird physics this has got weird 25:48 physics the truck stuck in the 25:53 mud the solders just sort of appearing 25:55 out of nowhere 25:59 this one's kind of cool although she's 26:01 the little girl's out of 26:05 focus pretty cool 26:09 right decent 26:17 snowmobiles that was good until he just 26:20 walked into the 26:21 wall walk through the glass 26:34 more snowmobile 26:38 weirdness all right so let me show you 26:40 how I did 26:47 these is this 26:50 it 26:52 yeah all right so as you know as you may 26:56 or may not know 27:03 um I 27:08 am I think one of the things that we're 27:10 all going to have to 27:12 learn oops good Lord sorry production 27:20 values one of the things that we're all 27:23 going to have to 27:24 learn is that our 27:29 brains are now the 27:32 bottleneck it's not ai ai is not the 27:35 bottleneck anymore ai's gotten so 27:37 good that it's no longer the bottleneck 27:40 now we still need our brains to initiate 27:43 things and frame things up and curate 27:45 things and refine 27:47 things but when it comes to just like 27:50 Brute Force I got to come up with some 27:52 ideas for what I could prompt a thing to 27:55 do or whatever like whatever you're 27:57 trying to do don't use your brain let 28:00 chat GPT do all the [ __ ] work all 28:02 right so what I wanted to what I thought 28:05 would be cool was get chat jpt to tell 28:09 me what are the core elements of a good 28:12 cinematic shot right so I said what are 28:15 the core elements of a text to video 28:17 prompt subject action scene um style art 28:21 location setting so it did all that then 28:23 it gave me an example prompt I thought 28:25 oh that's 28:26 good then I said I want you to act act 28:28 like an award-winning super imaginative 28:31 cinematographer and give me 20 different 28:33 prompts and then so it wrote a bunch of 28:36 prompts the problem with all these 28:38 prompts when you write prompts in a 28:40 vacuum and even this is this is a 28:43 problem with us if you're not doing 28:45 something where you've got a story to 28:46 tell and you're just writing prompts in 28:48 a vacuum you tend to create cliche 28:53 [ __ ] and so chat GPD created a bunch 28:55 of cliche [ __ ] and then I said make 28:58 them more special and Unforgettable and 29:00 then it did some of that and I tried to 29:03 make some of these and some of them were 29:04 okay but for the most part they 29:07 sucked then I had an idea and I think 29:10 this is a fun idea so I don't know if 29:11 Joy P's on here or if anyone's on here 29:15 that is is using generative AI to make 29:17 movies this might be a fun thing to play 29:20 with my brain has been a bottleneck for 29:23 years yeah no [ __ ] well you know what's 29:25 funny Source Camp is my my brain's been 29:29 a bottleneck for years but I had my con 29:31 myself convinced that it 29:35 wasn't and then little old AI sneaks up 29:39 on me he like tap tap tap uh don't use 29:43 that thing we're we're good you you just 29:46 you just live up here in the clouds 29:48 we'll take care of all the actual thinky 29:54 work 29:56 okay Joe Baker what's happening Shawn 29:59 Michael capy context is King context is 30:03 absolutely King one of the nice things 30:05 about doing an exercise like I'm doing 30:07 here start with tell me how to write a 30:09 prompt then write a bunch of prompts and 30:10 then where I go these are coming out a 30:13 little too cartoony make them more 30:15 cinematic so it did that and that kind 30:17 of 30:18 sucked and then I got 30:21 to let me see where I got to 30:24 it 30:26 ah tell me four unique color grading 30:30 styles made famous by certain 30:33 films so now I'm starting to stumble 30:36 into an idea so so again 30:43 okay how how are we going to keep our 30:46 jobs in the future right let's where's 30:48 my button we we're all worried about 30:51 this right how do we make money with 30:55 chbt we're worried about our jobs 30:58 I think that some of the skills in the 31:01 future are going to be things like 31:04 curiosity 31:06 um bravery sort of a sense of adventure 31:11 um 31:14 adaptability so one of the things that 31:16 I'm working on honing in myself is no 31:20 matter what intention I go into a chat 31:23 session with I try to let my mind be not 31:26 my mind I try to let my int tension be 31:29 very 31:30 plastic where if the thing like working 31:35 with chat GPT in a lot of ways is like 31:37 if you've ever worked with a really good 31:39 collaborator right where you trust each 31:42 other and you put an idea out there and 31:45 if it's really good your collaborator is 31:47 like oh that's really good and and you 31:49 know it either moves forward or they add 31:51 to it or if you put an idea out there 31:54 and it's it's a piece of [ __ ] your 31:56 collaborator will go no no no no that's 31:59 not right but there's something there 32:01 and then the collaborator will ask you 32:02 why did you do that why did you go there 32:04 right and they'll pull something out of 32:05 you or they'll say no that's not it but 32:07 what about this and you're like yeah 32:09 that's more it right and then you so 32:12 you're 32:13 you're one uping each 32:16 other in in an additive conversation 32:19 right with respect you know you're the 32:22 idea you're one uping the ideas not each 32:25 other that's what it's like working with 32:27 chat gbt when you do it right but you 32:29 have to be open to being that 32:33 collaborator so so then I said I want to 32:35 come up with unique color grading 32:37 because color grading can make it look 32:39 like a specific 32:40 movie and then it said the bleach bypass 32:43 Saving priate Private Ryan teal and 32:46 orange Mad 32:47 Max muted naturalism No Country for Old 32:51 Men and high key sepia Oh Brother Where 32:54 where art thou and I'm like oh [ __ ] 32:57 there are famous shots in all these 33:00 movies what if we take famous shots and 33:04 change them up 33:06 so and this is this is the 33:09 idea all right and then I said combine 33:12 these color grading things and then add 33:14 them to the prompts I haven't quite hit 33:16 the idea 33:20 yet so now rewrite all the prompts with 33:23 those cinematic color grading things and 33:26 I tried a couple of these and again the 33:28 that it made just 33:38 sucked okay 33:40 now here's the big 33:42 idea name 20 famous movie scenes we can 33:46 use as 33:49 inspiration and so it said 20 iconic 33:51 movie scenes for inspiration Blade 33:53 Runner Deckard meets Rachel in a smoky 33:56 Shadow filed Tyrell corporate office 33:59 Apocalypse Now the helicopter Assault 34:02 The Godfather Darkly lit right so it 34:04 gives us all these scenes and I'm like 34:06 reading these scenes going oh yeah I 34:08 remember that and you remember what they 34:09 look like and so I didn't want to just 34:11 recreate those scenes but what I wanted 34:13 to do was say well let's start with 34:15 those scenes as the as the basis of an 34:19 idea and again I don't want to do the 34:21 thinking here so so then I wrote this 34:25 now write a new scene inspired by each 34:28 of these that will be familiar to a 34:30 viewer but still unique spin on the 34:33 scene visually it should look like the 34:35 original film write those in 20 prompts 34:38 and so then what it did was it told me 34:40 what film it was being inspired by and 34:42 what scene but then it g gave me 34:44 something completely different right the 34:47 the actual prompt here is a scientist 34:50 meets a sensient Android in a high-tech 34:53 Greenhouse filled with towering glass 34:55 walls and Misty air the faint hum of 34:57 drums 34:58 Echoes uh as the sunlight flutters 35:01 visual style Smoky and shadowy with 35:04 muted greens and Silvers contrasting 35:07 with soft highlights so this is a really 35:10 cool scene idea inspired by something we 35:14 know so it it should have a familiarity 35:17 to it but it's completely different and 35:19 again if you're out to tell a story you 35:22 wouldn't do this exercise this exercise 35:24 was really just me trying to figure out 35:26 interesting ways I could test this new 35:29 model make sense any questions thoughts 35:33 context is King I like this idea yeah 35:36 it's fun 35:40 right all right no questions if you have 35:43 any questions pop them in the comments 35:45 All right so what we'll do we'll do some 35:47 new things here we're going to jump 35:49 in GNA create a new thing okay so the 35:52 way you get to here's here's a confusing 35:56 interface thing about uh um dream 36:00 machine because it makes both images 36:05 and videos sometimes you don't know 36:08 which mode you're in and like right now 36:10 it just says like image 219 aspect ratio 36:14 it's really teeny right here and if 36:16 you're moving fast you sometimes forget 36:18 and you'll make a whole bunch of things 36:20 you think are videos and it'll be images 36:22 but whatever but how you fix that is you 36:25 go here and you switch between video and 36:28 uh and images and then in the lower 36:31 right is now um Ray 2 I think this is 36:36 rolled out for everyone but I'm not sure 36:38 I think it is um and then Ray 1.6 was 36:41 their previous model and then you can 36:43 put it in 540p or 720p and you can do 36:46 five or 10 seconds uh and then you go do 36:49 different aspect ratios so we'll do 16 36:52 by9 um I think Ray 2 is only available 36:57 like if I go to key 36:59 frame Ray 2 is not available so it's 37:01 it's it's only text to 37:03 video but we got some good text let's do 37:07 21 by9 because it'll make it look more 37:09 like a cinematic shot so I'm just going 37:11 to paste in I thought I copied that did 37:14 I not copy that copy go over here you're 37:18 all looking at this right I'm not I 37:19 haven't screwed up something really bad 37:22 watching and learning all right 37:28 okay so there's my 37:31 scene one of the things that dream 37:34 machine does that's super [ __ ] cool 37:37 is it's got these new things called 37:39 boards and boards are like like here's 37:43 my prompt and what it did every one of 37:45 these words that it highlighted is now a 37:47 drop-down menu so so let's see a 37:51 scientist meet asenti an Android and a 37:53 high-tech Greenhouse let's let's see 37:56 what else where else they can meet oh 37:58 they could meet in an advanced biodome 38:00 great wait something went wrong maybe 38:03 they can't meet in an advanced 38:07 biodome it didn't like that did 38:10 it um Cutting Edge biosphere no all 38:15 right I don't know what's going on there 38:17 um but generally what it'll do when it's 38:19 when it's not erroring out is it will um 38:23 every time you pick a different option 38:24 for one of these it spins up another 38:26 pair of videos so it's super cool um but 38:31 what we're going to do is let's go back 38:33 to our chat gbt list so Apocalypse Now 38:38 so instead of a helicopters in the 38:41 jungle um Riot controlled drones swarm a 38:44 dense rain soaked city right so it's a 38:47 completely different shot but it's 38:52 mirroring that's that shot and let me 38:57 let me get up on a a little bit of a 38:58 soap box right 39:01 here one of the things I hear especially 39:04 from people that don't use generative AI 39:06 is like well AI can't be creative it's 39:08 just predicting the next 39:14 token and and they all sound like that 39:16 and they all make that face and I don't 39:18 know why but they do 39:22 um how do human beings come up with 39:25 novel ideas 39:29 well they use their language and their 39:33 and their large language model their 39:37 brain the the machine that that eats 39:40 language right and visual images which 39:43 is another kind of 39:45 language and they say things like oh you 39:48 know it' be cool what if we did like 39:51 remember Apocalypse Now remember how 39:53 edgy it was and how how vital it was 39:56 what if we did something that had the 39:57 vit ality of Apocalypse Now but like the 40:00 the the the futuristic realism of Blade 40:03 Runner and then the [ __ ] trippy 40:06 whatever of 40:08 2001 right you're like oh that's good 40:11 and then you sit down and you write idea 40:13 that's exactly what we're doing 40:15 here it's exactly what we're doing here 40:18 I'm serving 40:20 as the guy sort of saying well what if 40:24 we did this what if we did that what if 40:25 we did that and then the largeest 40:27 language model is like it knows all the 40:29 movies it knows all the shots it knows 40:32 what's good it knows what's 40:34 bad and if you give it the right context 40:37 it'll give you what you asked for and 40:39 then you can go oh well make them all 40:41 different but keep them the same and it 40:46 did that's new and novel idea generation 40:50 from where I come 40:52 from Jeff flanigans came from an idea 40:55 fairy 40:58 who disses oh who this who dis hey Jason 41:02 what's up all right so let's go let's go 41:05 copy and paste some uh there you go 41:11 nice I don't know that he's meeting a 41:14 sentient robot 41:19 there here's the other 41:24 one kind of a cool shot it it didn't 41:29 really meets a sentient Android oh I 41:32 probably need to say sentient android 41:34 robot but anyway let's throw in a new 41:36 prompt boom this is the riot controlled 41:41 drones and I think because I've already 41:43 generated a bunch of these I'm going to 41:45 go down to the bottom and work my way up 41:47 I 41:48 think Fight Club a hacker and their 41:51 accomplice so grab that 41:56 one boom 41:59 and you don't have to do all these this 42:00 is I just I find that doing this is one 42:04 inspired by the movie her which I think 42:06 is super 42:08 cool like again I mean what I used my 42:12 brain for was more like curating the 42:15 ideas that it spit out at me so rather 42:18 than me having to think about ah let me 42:20 go Google what movies came out that 42:23 were it's exhausting using your brain 42:27 just don't it's it's 42:30 overrated oh my God what if the what if 42:34 the machines do all the creative work 42:36 for us creative work's hard let the 42:38 machines do the [ __ ] creative work 42:40 I'll tell it what's 42:43 good I want to crank some [ __ ] out I 42:47 don't I don't 42:48 particularly take deep pride in the fact 42:51 that it took me four hours to come up 42:53 with two 42:55 ideas I think that's a f 42:58 [Music] 43:01 failure so let me take my stupid ape 43:04 brain and I'll sit over here in the 43:06 corner and you tap into the entire 43:09 history of the output of all of humanity 43:12 and give me what I want that's all I'll 43:14 do you can you can oh look at this we 43:20 had a timer set last 43:25 night oh that's so cool 43:29 so if you don't know about 43:31 tasks um oh that's cool and it shows up 43:35 oh okay this I [ __ ] love okay so if 43:38 you don't know what tasks are how you 43:40 get to tasks is in chat GPT there's this 43:42 new Option called gp40 with scheduled 43:46 tasks in the in the drop down menu at 43:48 the 43:49 top and you can just say I said every 43:52 night at 8:40 send me a drink recipe 43:56 from my Sin City I copied the prompt out 43:59 of Sin City sipper I threw it in 44:02 here 44:04 and and now it gives me it it's got the 44:07 whole history of like I guess every time 44:09 it's going to send me one of these drink 44:11 recipes it's just going to add it to 44:13 this chat which I think is [ __ ] 44:15 genius so what did I get I got 44:19 a neon Mirage Martini a dazzling 44:22 cocktail Jin orange lure lime juice 44:28 simple syrup and chili bitters that 44:30 actually sounds [ __ ] 44:32 tasty damn and garnished with some with 44:35 some blood 44:37 orange I'll take one of those all 44:40 [ __ ] day long and look it made us a 44:44 nice picture of our drink okay anyway 44:46 back to our movie 44:51 making which was the last one we did uh 44:55 Joker 1917 I don't think we did that one 44:58 Saving Private Ryan we didn't do that 45:00 seven oh 45:02 wait 45:04 where oh these must be new 45:07 ones are these new ones I think these 45:09 are new 45:11 ones no these are 45:15 them her rooftop Reflections wait let's 45:19 go back here what did we 45:22 do a lone soldier 45:29 a 45:31 hacker couple quit silly in a 45:35 bar oh lone soal nighttime Escape okay 45:39 so we did that one okay Joker we'll grab 45:42 this 45:48 copy let me just go confirm that we've 45:51 got ray2 going Yep this is the new 45:54 model boom off we go 45:57 go grab this 45:59 one 46:02 copy boom off we 46:07 go I don't know about you I think this 46:10 is a cool approach because it's like 46:12 it's low 46:13 anxiety what I what I can what I can 46:16 focus my Creative Energy on is 46:21 curating and then let let one of these 46:24 ideas that I'm just vomiting out Inspire 46:28 an actual 46:32 story 46:33 right oops what do I 46:42 do anyone have any ideas for the new 46:45 task last one was her okay 46:48 Marge hey Marge hey Marge yeah what was 46:52 the what was the name of that movie you 46:55 know you know the one with the guy 46:58 in the in the the the woman from that 47:00 thing we 47:01 saw you remember that 47:05 movie no no it no it wasn't that one no 47:09 it was it was fun it had funny in it it 47:13 had funny in 47:15 it yeah 47:18 exactly don't be like 47:21 him he needs to grow up here tell you 47:26 that damn 47:28 Marge wears the pants in that 47:33 family I was hated 47:36 that I was so so my my wife is from the 47:41 Bronx and one day we were walking down 47:43 the street did I do the park ranger one 47:46 hang on no um one day we're walking down 47:50 the street and some insane person said 47:55 something oh see that one was against 47:57 violations whatever just move on 48:00 um said something to 48:03 her as we walked down the street and 48:05 she's from the Bronx she just turned 48:07 around goes go [ __ ] 48:12 yourself few a few more steps down the 48:15 street and the guy just turns around and 48:17 goes we know who wear the wear's the 48:19 pants in that 48:25 family I was like oh 48:28 where's my pink bow where's my pink bow 48:31 I'm 48:32 offended I'm 48:43 masculine oh good 48:48 lord I'm the man of the 48:51 [Laughter] 48:54 household all right I think we've done 48:57 enough here let's go let's go see if 48:58 we've actually done any interesting 49:03 work so the okay so the other thing you 49:06 can do here let's see if this this is 49:08 muted greens and Silvers Misty air let's 49:12 see well those are all the 49:14 same faint hum of drones towering Glass 49:18 Walls let's 49:22 see Vitus 49:24 panels all right there it did it so you 49:27 see how I chose Vitus panels and now 49:29 it's spinning up new things so you 49:32 scroll left and right if if you're if 49:35 you're iterating on a prompt you can 49:38 also just say show more show show me 49:39 more like this or you can brainstorm or 49:42 you can there's all sorts of cool things 49:43 you can do reuse the message copy the 49:50 text Hightech Greenhouse let's go to 49:53 Advanced biodome there we go that's good 49:58 meets 50:01 a mechanical companion that's kind of 50:04 cool all right so see see how this 50:07 Scrolls left and right now nice so so 50:10 we'll see those so there's the two for 50:11 that prompt uh 50:15 oh what's 50:18 happening I think I might be 50:23 crashing is this still 50:25 live are we back 50:28 oh 50:30 boy don't give me your [ __ ] if 50:32 you're if if the only thing you're about 50:33 to tell me is um I have too many tabs 50:39 open you can you can take a flipping 50:45 hike oh it's back see I told you I told 50:48 you I could have that many tabs open 50:51 it's not 50:53 irresponsible memory manage my my ass 50:57 hey Google fix [ __ ] Chrome so I can 50:59 have a 100 tabs 51:01 open you think everyone's [ __ ] 51:04 responsible with their memory management 51:06 no so fix it all right so this one is 51:10 riot control drones swarm a dense rain 51:13 soaked 51:14 City that's kind of cool this one's 51:17 still working it looks like this 51:20 died but again see janky arms 51:24 here so multiple people seems to be in 51:27 Achilles heel of this thing a hacker and 51:30 their accomplice stand in an empty 51:32 parking lot in office Towers crumble in 51:34 the 51:36 distance that's kind of 51:39 cool can you all see this am I doing the 51:41 right thing I got to do the black bar I 51:46 know has he covered tasks in chat GPT 51:49 yet I'm confused by it I'll do that so 51:51 uh GG's Zen mode I'll I'll do tasks in a 51:53 second here we're just going through and 51:56 looking at at some some videos we made 51:59 with 51:59 posts this is kind of 52:02 cool it's weird see how everything's 52:05 kind of out of focus it's I one of the 52:07 one of the 52:10 um one of the things that looks like 52:12 this model was trained on was footage 52:14 that's maybe out of focus and then goes 52:16 into rack 52:18 Focus but like that like that shots the 52:21 the phone's out of focus there and then 52:22 this whole shots out of focus but it 52:24 looks 52:26 intentional like it looks like something 52:27 that you would cut to someone's face 52:29 when you know you're trying to pass time 52:32 or something like that interesting all 52:35 right um this one is a couple sits 52:37 quietly on a rooftop watching lights of 52:39 drones oh interesting and again it one 52:44 didn't make 52:50 it just waiting for that thing to slam 52:52 into one of their 52:55 faces in a bar in a baron a detective 52:59 interrogates a handcuffed 53:03 suspect this is obviously from the movie 53:06 seven or is this is this seven or is 53:09 this um 53:11 uh No Country for Old Men lone stranger 53:16 questions a let's 53:21 see in a baron seven yeah this is from 53:24 seven so yeah so this looks like the 53:28 movie Seven except right in seven it was 53:31 it was the high tension power lines but 53:34 like there's a there's a dead body 53:35 here's the two people out here that's 53:38 kind of cool so let's let's um I'm gonna 53:41 say show more so that I'll generate more 53:43 just like that with the same prompt and 53:46 then we'll say in a in an 53:50 abandoned Urban landscape that's kind of 53:53 cool a detective interrogates 53:58 an enchanted prisoner a chained Spirit 54:02 let's see beside an empty grave 54:05 beside no we won't do any of those a 54:08 distant storm 54:11 bruise so wait where are we we're in an 54:13 abandoned landscape so we'll do an eerie 54:19 Eclipse all right so that's that so so 54:21 now we got a bunch of those 54:23 going oh look and this thing did show up 54:28 so this looks like No Country for Old 54:30 Men more than it looks like seven but 54:33 but again like it looks like a film 54:36 you've seen right it's got a familiarity 54:38 to 54:39 it and you don't need to be a 54:41 cinematographer you can learn from this 54:43 like for me this starts to become an 54:46 education 54:48 tool as much as a Production Tool right 54:52 if I love watching movies and I love 54:54 telling stories and maybe I'm good at 54:55 words but I'm not as good with the 54:57 technical part of film 55:00 making well now I can take an approach 55:02 like this and just learn the [ __ ] out of 55:04 this stuff and go this is the look I 55:07 love and then I go okay wait what what 55:10 does that mean what what is the look 55:12 let's go up 55:14 here visual Style Pale greens Grays and 55:18 green and and blues with with sharp 55:20 whatever whatever that is I don't know 55:22 what that said I crafted two intense 55:25 scenes 55:30 this one's 55:33 cool there's some janky that's pretty 55:36 [ __ ] 55:38 cool he ghosts right on out and there's 55:41 the grave that's left 55:44 behind there you go very [ __ ] cool 55:58 here's the urban 56:05 landscape look at that that's the weird 56:18 Eclipse all right yeah now we're done I 56:20 think we're down in the next 56:22 prompt civilians 56:25 evacuate all right these are just chaos 56:27 the ones with lots of people in them 56:28 don't seem to do too 56:30 well all right this looks decent what's 56:32 this a lone soldier Sprints through a 56:35 burning 56:43 Village I wouldn't call it a lone 56:48 stranger a factory worker oh that's cool 57:09 that'd be a cool scene for a music video 57:11 wouldn't 57:12 it let's go back to this one show more 57:16 show more show 57:19 more dances 57:23 erratically we'll keep dances 57:25 erratically 57:31 you could do every movie cliche ever 12 57:33 Monkeys oh yeah look it did look like 12 57:35 Monkeys you can make a trailer stitching 57:38 these together with a good song yeah 57:41 exactly I'm looking for a video maker 57:43 for a music video there you 57:45 go Napoleon Dynamite dance yeah exactly 57:49 dances erratically so a factory worker 57:51 so say a street 57:55 performer outo staircase an industrial 58:01 rooftop 58:04 skyscrapers show more show 58:09 more isn't this 58:11 cool we're just sort of Surfing the 58:13 latent space we're just sort of like 58:16 mindlessly 58:18 generating like that's 58:20 beautiful that's [ __ ] 58:25 beautiful it's got good 58:27 physics those weird ass Salt 58:32 Flats the sky is a little [ __ ] up and 58:35 weird but you 58:36 know depending on the storyline maybe 58:49 not show more show more show more show 58:53 more 58:56 I love this not having to [ __ ] prompt 58:59 and think I really 59:01 do and you know what I like I'm curious 59:04 where you guys are like do you guys 59:07 anyone feel like they're they're tired 59:10 of their brain the bottleneck of their 59:12 own brain yet like I feel I feel like 59:15 this weird 59:17 liberation of 59:20 like I get to just use my brain for the 59:23 [ __ ] that I really enjoy I'm like 59:28 offloading the stuff that my brain isn't 59:31 good at I don't know I don't I dig 59:38 it I used to do this but with 59:41 images in Deco here it's wild to Surf 59:44 through the Laten space yeah same Kyle I 59:47 hate prompting to be 59:50 honest like we burn it up yeah exactly 59:53 like yeah we were told well you got to 59:55 become prompt engineer 59:57 listen listen let me tell you something 1:00:00 you take my course on prompt engineering 1:00:02 and I will teach you the 17 steps what 1:00:04 you need to do is you need to construct 1:00:06 a perfectly structured prompt the 17 1:00:09 stages of perfect prompt you can use up 1:00:12 to 15 well you I mean I would recommend 1:00:15 using fif up to 15 of the 17 possible 1:00:19 options um you always want to start uh 1:00:21 with numbers one and two in the same 1:00:24 order but you can put them in the third 1:00:26 or fourth position but they must be one 1:00:28 and two right no 1:00:32 no stop 1:00:36 it if your brain works that 1:00:42 way you probably need medication 1:00:47 too we just need different 1:00:55 medications oh my God all right what do 1:00:59 we got here I I could not get this thing 1:01:01 to 1:01:03 do successful War scenes look look how 1:01:07 slow the planes are going it's like 1:01:08 drones in New Jersey right now and then 1:01:11 their limbs are like these rubber things 1:01:12 he's just this guy's running around look 1:01:14 he's going out trying to catch a carp in 1:01:16 the 1:01:17 water he's like I'm gonna go get a fish 1:01:20 I'll get a fish 1:01:26 aren't those bombers a little low 1:01:29 [Laughter] 1:01:34 Bob oh it's like what do you want to do 1:01:38 I don't know what do you want to do 1:01:42 exactly 1:01:45 exactly oh that's a nice 1:01:50 shot 1:01:52 whoa wait okay normal normal and go 1:02:02 weird embrace the Jank 1:02:04 people I can't wait until this gets 1:02:06 really 1:02:08 good want to 1:02:11 compare Kyle 1:02:14 [Music] 1:02:16 right that was really funny all right 1:02:20 it's still dreaming up that one oh 1:02:22 what's this 1:02:23 one a group of art thieves oh yeah this 1:02:26 one the the water scenes it's weird with 1:02:29 water scenes 1:02:31 too I mean those physics for the water 1:02:34 look pretty good but what the [ __ ] is 1:02:36 falling into the 1:02:38 water and how is it that deep on the 1:02:41 floor of a 1:02:44 building and here's more art 1:02:51 thieves oh man that's 1:02:54 funny okay are these he good that's good 1:02:57 that's 1:03:02 not hey Cowboy uh oh what did I 1:03:12 do hey Jim hey Bob uh I wish I could 1:03:17 quit you 1:03:25 yeah oh 1:03:37 uh all right let's just go we'll go look 1:03:39 at some horizontal work we did 1:03:44 here so oh that one's 1:03:51 cool yeah that's super cool 1:04:19 this like next 1:04:21 year we're going to be walking around 1:04:23 with our robots 1:04:31 that was kind of 1:04:35 cool I also isn't just cinematic aspect 1:04:39 ratio 1:04:40 cool I think it 1:04:43 is 21 1:04:53 by9 all right 1:04:56 did we do this one sideways nope nope 1:04:59 these 1:05:00 sucked I don't think we did that one 1:05:02 nope this one we did okay No Country for 1:05:05 Old Men we saw these I think 1:05:32 oh yeah here's all our dance Dancy 1:05:34 people all right what do we have 1:05:43 here this one's 1:05:46 cool like if you did 1:05:49 that and cut it to 1:05:54 that that kind of worked he's going in 1:05:57 front of and behind that railing 1:06:06 unfortunately see like you can't use 1:06:08 these whole Clips they're 1:06:11 just they're just 1:06:15 weird that one's 1:06:17 usable well his arms get a little long 1:06:20 but again you'd cut cut before it gets 1:06:22 weird right 1:06:34 yeah I think this one I think this one's 1:06:35 going to turn in I'm gonna turn this 1:06:37 into some sort of music 1:06:41 video it can never do break dancers it 1:06:44 doesn't 1:06:46 understand these models really don't 1:06:49 understand when hands start in the air 1:06:51 and end up on the ground it like turns 1:06:53 them into legs it can't it just can't 1:06:57 [Laughter] 1:07:04 compute I love this dancing in front of 1:07:09 [ __ ] you know power stations that are 1:07:12 polluting the [ __ ] air that's really 1:07:14 cool oh here's the skyscraper 1:07:19 ones I mean there's enough in here you 1:07:21 could this this could be cut together 1:07:23 I'm going to go make a few more of these 1:07:25 let me go back up 1:07:26 here we'll go show more show more show 1:07:30 more show more show more let's go back 1:07:36 to outdoor 1:07:38 staircase industrial 1:07:44 rooftop wind 1:07:46 turbines uh it can never do wind 1:07:48 turbines for some 1:07:54 reason factory worker let's 1:07:56 [Music] 1:07:57 do construction 1:08:01 worker we're going to keep the dances 1:08:06 erratically boarded up Alleyway I like 1:08:09 that oh abandoned 1:08:11 warehouse all right show more show more 1:08:14 show more all right I'll do a video of 1:08:18 that but I know someone wanted I don't 1:08:20 know if the person that wanted to see 1:08:22 tasks is still here but we'll do tasks 1:08:24 now a two second cut cut could work yeah 1:08:26 exactly what's the name of this tool 1:08:28 this tool is called uh Luma Labs dream 1:08:32 machine and I'm in a a feature it's it's 1:08:35 the primary interface of the tool now is 1:08:38 this thing called 1:08:39 boards and boards are these combinations 1:08:42 of you can you you put your prompts in 1:08:45 here and when you put a prompt in it it 1:08:48 generates 1:08:51 um these options that you can pull down 1:08:54 from your prompt and then you can put in 1:08:56 new prompts and when you put in a new 1:08:58 prompt it basically makes a new row and 1:09:01 then within a row you can you know add 1:09:05 additional stuff or do variations of it 1:09:07 really easily look at like look at this 1:09:10 one this one's 1:09:12 gorgeous like right there just start the 1:09:14 cut right 1:09:21 there it's got a weird foot right there 1:09:25 wait that no it's normal all right 1:09:28 that's 1:09:33 cool big old tracking 1:09:38 shot I 1:09:40 mean even though these things are 1:09:42 jankier than [ __ ] look at that shot and 1:09:46 let's say that you wanted that shot in a 1:09:49 movie you'd have to [ __ ] fly to 1:09:51 [ __ ] 1:09:53 Utah you know Scout the 1:09:56 scenes probably hire I don't know a 1:10:00 dozen people to get the gear out there 1:10:03 and the food out there and 1:10:05 the the [ __ ] 1:10:09 drone or you'd have to hire a 1:10:12 helicopter to get this three second 1:10:19 shot just [ __ ] Bonkers 1:10:22 man it really is all right let's go to 1:10:26 chat 1:10:28 je someone wants to know how to do tasks 1:10:32 So 1:10:36 Yesterday open AI released this thing 1:10:40 called 1:10:42 tasks so on your chat GPT slide or or 1:10:48 screen or show up at Burning Man first 1:10:51 yeah there you go exactly you get to 1:10:53 Burning Man early to get that shot 1:10:56 shoot it on your 1:11:03 iPhone Todd Waller Kyle do a key frame 1:11:06 video you upload a starting image 1:11:10 um yeah I well I'm just what I was 1:11:13 playing with is The Ray 2 um model and 1:11:16 you can't do image to you can't do key 1:11:19 frame videos with Ray 2 yet so I'll get 1:11:21 there Todd Waller I just I just wanted 1:11:23 to play with The Ray 2 thing to see how 1:11:26 it was doing I think tomorrow what I'll 1:11:28 [ __ ] around with is that that research I 1:11:31 did on 1:11:35 Gemini 1:11:41 so actually you know we could 1:11:44 go video clip ideas to explore physics 1:11:48 simulations so let me just go grab all 1:11:52 these so there's 30 of them now which is 1:11:54 cool go into chat gptt we'll go into 1:11:57 that same text to video prompt 1:11:59 experiments so I'm going to say okay I 1:12:03 want 1:12:05 to 1:12:07 take these oh I got an idea okay 1:12:11 30 1:12:13 um 1:12:15 ideas that will 1:12:19 test 1:12:21 um 1:12:23 the physics 1:12:27 simulation 1:12:31 capabilities of a gen AI video 1:12:38 maker but I want 1:12:41 you 1:12:42 to 1:12:44 reimagine wait 1:12:47 reimagine each 1:12:50 one 1:12:52 into the closest wait let's see the 1:12:58 closest 1:13:02 um shot 1:13:07 from a 1:13:10 known 1:13:12 movie and be 1:13:15 similarly 1:13:17 wait 1:13:19 similarly 1:13:21 inventive 1:13:23 with your inter 1:13:26 pretation of the 1:13:32 scene as 1:13:36 above and I'm going to paste in all 1:13:38 those video 1:13:40 clips or all those physics things 1:13:45 bang and now we should 1:13:48 get 30 movies Newton's Cradle from 1:13:51 inspired by 1:13:53 Interstellar a pendulum like Newton's 1:13:55 Cradle setup floats in zero gravity this 1:13:59 is cool the domino effect the Dark 1:14:03 Knight I'm I'm sorry man you tell me 1:14:06 this isn't [ __ ] creative you tell me 1:14:09 this 1:14:10 isn't taking disperate [ __ ] Concepts 1:14:14 and seamlessly merging them together 1:14:16 like a [ __ ] person 1:14:18 does I just the more I use these tools 1:14:22 the more I'm 1:14:24 like this is this is how we think this 1:14:27 is how we 1:14:28 work it's just way [ __ ] 1:14:33 faster objects rolling down an incline 1:14:36 Raiders of the lock lost Arc 1:14:39 yes that's the perfect that's the 1:14:41 perfect 1:14:45 one all right what are we gonna what 1:14:48 movie scene could we do that's like you 1:14:50 know something rolling down an incline 1:14:52 oh remember Raiders the Lost arc when 1:14:54 the big thing chases him out of the 1:14:58 cave it's exactly what [ __ ] people 1:15:02 do why are you so angry shut 1:15:08 up all right let's go back to chat GPT 1:15:11 oh we're in chat GPT do we have another 1:15:13 one open I've got to yeah okay here we 1:15:16 go I want to let that one finish okay 1:15:21 so in order to do a task you you go to 1:15:25 this second option in your pull down 1:15:27 menu with scheduled tasks and then it 1:15:30 just looks exactly like it did 1:15:33 before but now we can go let's see what 1:15:37 do we 1:15:38 want 1:15:43 um help me come 1:15:46 up 1:15:48 with 1:15:51 interesting Daily News searches 1:15:56 is I could 1:16:00 do based on what H knew about 1:16:07 me how about searching for updates on 1:16:10 Innovative Small Business Solutions new 1:16:12 advancements in generative AI are the 1:16:14 latest trends 1:16:15 and okay great so now I'm going to say 1:16:19 again not using my 1:16:21 brain write me a prompt 1:16:27 for you to 1:16:37 fetch 1:16:38 some 1:16:41 combination of those on a daily basis I 1:16:50 want you to search for 1:16:58 20 stories but 1:17:03 only share the top five you think I will 1:17:09 most 1:17:14 like so I'm not making a task yet I'm 1:17:17 just using chat GPT to oh it's so late 1:17:20 daily at 9:00 1:17:21 am got it I'll fetch the top five every 1:17:24 day 1:17:25 and if I say edit 1:17:28 this oh interesting search for 20 1:17:30 stories about Innovative Small Business 1:17:32 Solutions generative AI advancements 1:17:35 Creative Marketing campaigns engaging 1:17:37 social media tools Tech conferences 1:17:39 sustainability initiatives and Tech Team 1:17:41 Building approaches and storytelling 1:17:43 techniques combining technology and the 1:17:45 Arts tell me the top five you like most 1:17:48 daily at 9:00 amm what's today it's 1:17:51 9:15 let's go let's change this to pm 1:17:58 and let's change this to 1:18:02 917 917 all right 1:18:06 save okay so now the way this works and 1:18:10 and this is super 1:18:13 cool so I did I I made oh and if you 1:18:16 want to if you want to see all of your 1:18:18 tasks you click on the little three dots 1:18:21 here on a task and you say view all 1:18:23 tasks so here's all my 1:18:26 tasks right so now I have one at 1:18:29 9917 um I was supposed to get a Sonet 1:18:32 this morning no wait I was supposed to 1:18:34 get a daily image this morning but chat 1:18:36 GPT crapped the bed and I didn't get it 1:18:39 but the cocktail one at 840 that's the 1:18:42 one we got so the way it 1:18:44 works if I scroll down here to my chat 1:18:47 history this Sin City sipper cocktail 1:18:50 this is 1:18:55 here's the prompt from Sin City 1:18:58 sipper and then I said where's my prompt 1:19:01 I guess it's at the top 1:19:06 yeah right here's the actual 1:19:11 prompt I want you to share an original 1:19:13 cocktail or 1:19:15 mocktail every day at 8:40 p.m. and so 1:19:19 when we were working tonight I was in 1:19:20 chat GP or no I wasn't in chat GPT I was 1:19:23 somewhere else but I got you you enabled 1:19:25 desktop notifications and when I clicked 1:19:27 on the desktop notification it took me 1:19:30 to this chat and it just added in this 1:19:36 drink so [ __ ] 1:19:40 cool so that's the way it works 1:19:43 so I'll just I'll just stay in 1:19:46 here and I'll I'll zip this over here 1:19:49 and what we should see see where this 1:19:51 says AI Salon news updates right here it 1:19:55 should 1:19:56 add five news stories into that 1:20:00 chat right about now hey 1:20:05 look it 1:20:08 worked and here's five story this 1:20:11 amazing hines's ketchup fraud 1:20:14 campaign Runway Gen 4 revolutionizing 3D 1:20:18 scene 1:20:19 generation tabalo AI ad assistant Abby 1:20:23 cool so there's our five stories boom 1:20:26 9117 five stories on whatever the [ __ ] I 1:20:30 to told it to 1:20:31 do how cool is 1:20:34 that can you email the results from the 1:20:36 cast that's incredible I know isn't it 1:20:39 um no but so okay let me go let me go 1:20:41 out of because my voice is starting to 1:20:44 go I gotta I 1:20:46 gotta I gotta start winding it down what 1:20:49 the [ __ ] is happening with my hair why 1:20:51 didn't anyone tell me about that good 1:20:54 Lord look at that that's absolute 1:20:58 [ __ ] 1:21:01 insanity looks like a goddamn tornado on 1:21:04 my head all 1:21:05 right 1:21:07 um you know what's so 1:21:09 [Laughter] 1:21:12 funny hair is funny I remember I 1:21:16 remember oh well Story vine we would we 1:21:18 would go to events and and we would film 1:21:20 people right and so one of the things 1:21:22 we' do is we'd take a picture of them 1:21:24 and then we'd show the picture and say 1:21:25 do you like it and so I was filming this 1:21:28 woman one 1:21:29 time and I took the picture and I 1:21:32 thought it looked great and I showed it 1:21:33 to her she was like 1:21:35 ah and like and it was like her hair was 1:21:39 down and she wanted it up or it was up 1:21:41 and she wanted it down or like there was 1:21:43 a piece of hair in front of her shoulder 1:21:45 and she wanted it behind like it was a 1:21:47 it from my perspective it it was a minor 1:21:50 thing and I thought it looked better the 1:21:52 other way but for her it was an absolute 1:21:55 [ __ ] Panic so I assume there's some 1:21:57 people that would like a tornado on 1:21:59 their head I'm not one of 1:22:06 them okay looks 1:22:09 normal 1:22:11 um okay so the question about could you 1:22:14 have this thing email you 1:22:17 now one thing I want to be super clear 1:22:21 about these tasks you could do way more 1:22:25 sophisticated versions of this with 1:22:27 other tools right now you could use 1:22:30 zappier to do really sophisticated 1:22:33 versions of this you could use make 1:22:35 there are probably tools that are that 1:22:37 are designed specifically for that I 1:22:40 know nothing about this sub steo sto's 1:22:43 hairfree he doesn't have the four 1:22:46 different weave tupay that I've got 1:22:48 going he's jealous of my Tays I've got 1:22:51 really good I spent a lot of money on 1:22:53 the hair tape that's what keeps it down 1:22:59 um 1:23:01 okay why I think tasks from open AI is 1:23:05 significant are not because what they do 1:23:07 is all that interesting or 1:23:10 remarkable it's cool that it's doing it 1:23:12 within a chat GPT chat and it's 1:23:14 basically just spinning up a new result 1:23:17 within within a long chat like I could 1:23:20 see this becoming a very valuable thing 1:23:22 to be able to just go back and scroll 1:23:24 through these iies um so it's super cool 1:23:28 what it does but what I suspect that 1:23:31 this is I suspect that tasks are a 1:23:36 component of what this thing that 1:23:38 they're about to launch called operators 1:23:40 which are autonomous agents that can go 1:23:42 do things on your behalf I assume that 1:23:45 this will work together with that now 1:23:49 what is that we don't know yet but it is 1:23:51 likely a system where you can create 1:23:54 agent that go off and do [ __ ] for 1:23:57 you and probably within that you can 1:24:00 create tasks that those agents can use 1:24:03 is my 1:24:05 guess start the trend tornado hair with 1:24:09 pink 1:24:12 bows I bet actually this hair with this 1:24:15 bow I think would look pretty good yeah 1:24:17 that's see now you're talking that's 1:24:20 some pretty solid what the pink bow does 1:24:23 for me is it 1:24:25 it masks the shitty 1:24:28 hairline the ever increasing 1:24:32 forehead so now I now I can look like a 1:24:35 you know just like 1:24:37 a I probably look like a 32y old now 1:24:42 right now you you look like Alec Baldwin 1:24:45 on a 1:24:46 bender with with that pink bow you look 1:24:49 like Rosie O'Donnell had a bad 1:24:51 day you don't look 32 at all well I 1:24:54 don't know what you're talking about why 1:24:55 does anyone watch this 1:24:59 channel why are there so many people 1:25:01 here I I don't understand this at all I 1:25:03 haven't learned a thing it's called the 1:25:05 AI learning lab with is this the 1:25:08 substitute 1:25:09 teacher good 1:25:11 Lord I've never seen anything like this 1:25:14 why are you still here it's not 1:25:16 important right now all 1:25:22 right I'm a writer so I can add 1:25:25 in that chat a task to remind me to get 1:25:28 back to something yeah well so not only 1:25:31 could you do that so so so GG 1:25:35 Zen you're a 1:25:39 writer here's an 1:25:42 idea this is a fun one okay wait wait 1:25:44 wait wait wait watch watch this is gonna 1:25:47 be good hang on let me share my screen 1:25:51 again okay watch what we're going to do 1:25:58 okay I 1:26:02 can't okay I can't do that okay got it 1:26:04 got it got it got it got it okay GG 1:26:09 assuming that you journal or you have 1:26:12 notebooks if you do them digitally you 1:26:15 could just take a bunch of your 1:26:21 notes copy and paste them into a chat or 1:26:25 upload using this little chat thingy 1:26:28 here or the paperclip thingy here but 1:26:31 I'm going to show you another thing I 1:26:32 don't know if you know this but chat GPT 1:26:35 has 1:26:36 Vision so I'm gonna go to the Google and 1:26:40 I'm going to go um 1:26:44 hand 1:26:47 written journal 1:26:50 pages and then I'm going to go 1:26:53 images all right good 1:26:55 and then we're going to go 1:26:58 find something like 1:27:00 this is that even [ __ ] 1:27:06 readable a page from my 1:27:09 journal good [ __ ] Lord who writes 1:27:12 like that all right perfect let's take 1:27:15 this save image 1:27:19 as um 1:27:22 Journal hornal 1:27:26 and then go back to chat 1:27:29 je and let's upload said 1:27:32 journal 1:27:34 hernel and say what what does this 1:27:40 say question 1:27:47 mark the day before my birthday my 1:27:50 sister asked me to court for a lengthy 1:27:52 dilemma 1:27:55 this assured me forgiveness regarding a 1:27:57 week ago so I didn't have the recompense 1:28:00 whatever okay something regret the 1:28:03 complex days and okay 1:28:07 great I would work in the same place 1:28:10 these days now okay 1:28:12 so so let's take this and let's turn 1:28:15 this into I want you to 1:28:20 turn these journal entries into a 1:28:28 series 1:28:31 of 1:28:35 100 um 1:28:42 short writing 1:28:45 prompts that will inspire 1:28:50 me to write 1:28:55 every day and write something 1:29:01 interesting 1:29:06 okay great and so here's right about a 1:29:10 misunderstood gift that causes tension 1:29:12 in a family imagine a day before a 1:29:14 milestone birthday 1:29:21 right all right so 1:29:25 so we took a picture of a 1:29:27 journal that was unreadable from my eyes 1:29:32 unreadable absolutely unreadable 1:29:34 beautiful but unreadable it read it we 1:29:38 now have a hundred creative writing 1:29:40 prompts inspired by that journal right 1:29:42 so you could take a big pile of your 1:29:44 writing or poetry or whatever it 1:29:46 is and turn it into a bunch of prompts 1:29:49 inspired by your writing and then do 1:29:52 this flip into a okay so now I gotta now 1:29:55 I got to copy these you'll see how we'll 1:29:57 do 1:29:58 this going to copy all 1:30:02 these boom copy 1:30:06 new scheduled task 1:30:10 um I am a 1:30:15 writer I am trying to be a better 1:30:20 writer I am committing 1:30:24 to 1:30:28 you and all of the world that I will 1:30:34 write every 1:30:42 morning at 7 1:30:45 a.m. I want you to send 1:30:51 me one of these writing 1:31:01 prompts along 1:31:04 with an 1:31:08 affirmation I 1:31:11 can 1:31:14 repeat 10 1:31:18 times before starting my writing session 1:31:24 that will 1:31:26 inspire and support 1:31:31 me and then let's do this at 9:30 1:31:36 p.m. 1:31:39 930 p.m. so we can see it in two 1:31:43 minutes because I've got add and I can't 1:31:46 wait till s in the [ __ ] morning from 1:31:49 a stupid 1:31:50 inspiration boom send a writing prompt 1:31:54 daily at 9:30 p.m. got it I'll send you 1:31:58 something at 9:30 it's 9:29 now let's go 1:32:00 back to another here I am chatting about 1:32:03 what was I chatting about here that's 1:32:05 the news updates let's go back to 1:32:07 cocktails here I am just marveling over 1:32:11 my my thing that I didn't need to prompt 1:32:13 I just got a drink I got a drink in my 1:32:16 inbox whenever I [ __ ] wanted it 1:32:24 isn't this cool all right it's 9:29 9:30 1:32:27 is coming we should get a little desktop 1:32:29 notification 1:32:35 here I love this feature yeah this is 1:32:38 there's there's something about being 1:32:39 creative here that's really good just 1:32:42 hopped on what are you guys T are you 1:32:44 guys tasking yeah we're using um open AI 1:32:48 tasks and it's 9:30 we should get a 1:32:50 desktop notification 1:32:52 now h 1:32:56 huh did it give us one and I missed the 1:32:59 desktop not there it is 1:33:03 Boom write every morning commit to your 1:33:06 craft one word at a 1:33:08 time so here's your prompt there's your 1:33:10 writing prompt affirmation to repeat 10 1:33:13 times before starting your writing 1:33:15 session I am a writer my words flow with 1:33:18 Clarity purpose and creativity I am a 1:33:21 writer my F words flow with clarity 1:33:24 purpose and creativity I am a writer my 1:33:27 words flow with Clarity purpose and 1:33:29 creativity and then there's your prompt 1:33:31 inspired by your Journal that you wrote 1:33:34 in your chicken scratch that no one can 1:33:36 read but 1:33:38 you that's [ __ ] 1:33:44 cool this Sin City sippers a menace to 1:33:50 AA 1:33:52 indeed well [ __ ] isn't that cool 1:33:59 [Laughter] 1:34:02 Gigi pass me that drink Kyle 1:34:07 exactly I mean and look like this is a 1:34:10 short little thing the the news thing 1:34:12 that it did you know sent me news 1:34:22 stories wait was that it 1:34:24 no business insights was news stories 1:34:27 five little news 1:34:29 stories that I could just go out and oh 1:34:32 there's the 1:34:33 pictures but there's the 1:34:36 article 1:34:38 right so if I've got my alarm set for 7 1:34:43 or 1:34:44 6:30 I could have this thing show up at 1:34:48 625 that's I just hop on to chat GPT and 1:34:51 there's there's a bunch of stories and 1:34:52 it's because it's a lar language model 1:34:55 it's it's like writing summaries of 1:34:57 these things or it's coming up with 1:35:00 affirmations for you to say as a 1:35:06 writer create a task for AI martinis for 1:35:10 each llm model yeah we could do that we 1:35:11 can just do that with with Sin City 1:35:14 sipper I my problem with demoing tasks 1:35:18 is is that I've got I've got a a whole 1:35:20 [ __ ] ton of tasks that I'm going to have 1:35:22 to constantly go prune 1:35:24 [Laughter] 1:35:28 where's my where's my task here's one so 1:35:31 you got to go to tasks to prune them so 1:35:34 generative AI news actually this one I 1:35:37 like but let me edit this one I'll I'll 1:35:38 set this one 1:35:40 for for the 1:35:44 morning set it 1:35:47 for 6:45 1:35:56 The Voice she's going The Voice she is 1:35:59 going share a cocktail we're going to 1:36:01 keep that one I like that one daily 1:36:03 image and tweet this one failed today so 1:36:06 I'm gonna kill 1:36:09 it um search generative AI news that's 1:36:13 the 645 one send a writing prompt I 1:36:15 actually like that one but I should 1:36:18 modify it I'm not going to do it it's 1:36:21 that's not my thing I'll delete that 1:36:28 um interesting Daily News will kill 1:36:33 that oh wait was that no this this I'm 1:36:37 gonna I'll move this one 1:36:42 to 1:36:44 um 1:36:48 seven and then this is right a sonnet we 1:36:50 don't need a [ __ ] sonnet what kind of 1:36:54 tentious 1:36:56 douchebag gets emailed a 1:37:01 Sonet [ __ ] liberal arts 1:37:04 Majors I can't delete it I guess I guess 1:37:08 I'm getting 1:37:09 [Laughter] 1:37:14 sonnets where why where did that go oh 1:37:16 it looks like that one's corrupt maybe 1:37:19 maybe I'm never getting sonnets can I 1:37:21 search for sonnet here sonnet 1:37:30 huh yeah it's gone that thing that 1:37:33 thing's corrupt all right something's 1:37:35 [ __ ] up in the database oh well 1:37:38 whatever all right everybody I'm wasted 1:37:42 I am wasted wasted wasted 1:37:48 wasted um 1:38:07 yeah I'm just gonna get out of here all 1:38:09 right whoa I asked it to go fetch a 1:38:12 webcam image from my local ski resort on 1:38:15 the hour every hour for a day and it 1:38:18 said done there you go we'll see if it 1:38:21 actually works just set the time Todd 1:38:24 just do what I do just go back into that 1:38:26 thing and set the time for like two 1:38:28 minutes from now like every every hour 1:38:30 on the hour at you know colon 17 minutes 1:38:34 or whatever it is right now it's 35 so 1:38:36 do it for like colon 1:38:38 37 and and you'll get the first one in 1:38:40 two 1:38:42 minutes let my let my immediate 1:38:45 gratification 1:38:47 Obsession color your world 1:38:56 oh good lord Jokers speak in other 1:38:59 languages it's not 1:39:02 fair I'm painfully 1:39:10 [Music] 1:39:21 American how many tasks can you have I 1:39:24 assume as many as you 1:39:27 want I mean you know how many 1:39:30 notifications can you 1:39:34 tolerate but I mean I mean what's listen 1:39:37 I I mean you can do these kind of things 1:39:40 everywhere else but I just think the 1:39:41 fact that it's now built into chat GPT 1:39:45 is just sweet right you're in here 1:39:47 you're do what's cool about this is 1:39:49 you're in here you you do some sort of 1:39:51 cool thing right like Sin City SI right 1:39:54 it comes up with the drink it makes the 1:39:55 picture so now I've got the the prompts 1:39:58 for that and it 1:40:00 works well now you can just sort of copy 1:40:03 The Prompt basically go and make a new 1:40:05 task and say do this for me once a week 1:40:09 you know every FR every Friday afternoon 1:40:11 at four o'clock send me you know five 1:40:13 drink 1:40:15 recipes the world is too crazy these 1:40:18 days I agree I agree with that 1:40:30 [Music] 1:40:35 waiting one minute now all right Todd 1:40:37 Waller let's see if Todd Waller gets his 1:40:41 uh his ski resort photo every hour on 1:40:44 the 1:40:51 hour oh it's funny 1:40:57 oh good 1:41:01 lord Joy P's gotten a UK phone number to 1:41:05 put Tik Tok on a UK server you might 1:41:08 it's 1:41:10 probably IP based Joy you're probably 1:41:12 going to have to use a VPN which is not 1:41:15 I mean a VPN might work and maybe having 1:41:18 a I I I would 1:41:20 assume that the phone number is less 1:41:22 important than the 1:41:24 VPN the IP address but I don't know 1:41:27 where will it pop up when you set up 1:41:29 your task you have to give your computer 1:41:32 permissions to do browser notifications 1:41:35 if you didn't do that it won't it'll 1:41:37 just pop up in the chat where you set up 1:41:40 the task is what I'm now learning which 1:41:43 is kind of that's kind of an elegant 1:41:46 solution I'm kind of digging 1:41:48 it because what you could also do 1:41:54 so let's say you're getting that writing 1:41:56 affirmation thing every morning and 1:41:58 after two weeks you're like this is 1:42:00 great but it's a little basic I want it 1:42:01 to be a little more sophisticated just 1:42:03 in the same chat where it already knows 1:42:06 how to do that you could just modify 1:42:08 modify the prompt and say you know I 1:42:10 want this to be more sophisticated give 1:42:13 me the version you gave me today but but 1:42:15 blow it out a little bit in the 1:42:16 following ways and then it does that and 1:42:18 then you go yeah send me that each 1:42:20 morning and it just will like it's 1:42:22 that's [ __ ] brilliant it's it's it's 1:42:25 so 1:42:29 slick all 1:42:31 right so go check your uh Todd Weller go 1:42:35 check your prompt history go look at the 1:42:37 one that you made it in and see if 1:42:38 there's a new entry at the bottom of it 1:42:41 use a Raspberry Pi to Tunnel into 1:42:43 another country could work for keeping 1:42:46 Tik Tock yes yes it 1:42:50 could yeah make yourself a little uh 1:42:53 make make yourself a little Raspberry Pi 1:42:56 server little Wi-Fi router that that 1:42:59 tunnels to another country that could 1:43:02 work if you're that geeky [ __ ] go for 1:43:05 it I think I'm just gonna let the uh let 1:43:09 the I'm gonna keep making my stupid 1:43:11 [ __ ] are you scrolling hey are you 1:43:13 scrolling those things until this thing 1:43:16 [ __ ] Flames 1:43:18 out and maybe it doesn't flame out you 1:43:21 know there's there's [ __ ] all sorts 1:43:23 of rumors I 1:43:25 saw okay so Mr Wonderful said he was GNA 1:43:28 buy it he's got 20 billion he can put up 1:43:30 for it I saw Mr Beast today said let us 1:43:34 let me buy it um uh rumors were that 1:43:38 Elon Musk was gonna buy it I heard today 1:43:40 that um Donald Trump is gonna save it on 1:43:44 January 1:43:45 20th it'll but it'll be gone on January 1:43:48 19th the Chinese have said no we're g to 1:43:50 shut it the [ __ ] down on January 19th it 1:43:53 didn't come I don't know what to tell 1:43:55 you dude uh keep 1:43:58 trying uh maybe make another one um but 1:44:03 did you get it so Todd did you get it to 1:44:05 successfully like like what I would do 1:44:07 is go find the server that can grab a 1:44:11 screenshot first and see if you can get 1:44:14 it to return a screenshot before you set 1:44:16 up the task for 1:44:19 it and then say do that every every hour 1:44:23 been hoping Mark Cuban would buy it oops 1:44:26 it was set up for tomorrow at 9:40 there 1:44:28 you 1:44:32 go all right um okay I'm gonna get out 1:44:36 of here peace out to uh YouTube LinkedIn 1:44:38 and X I will see you tomorrow 800m same 1:44:42 bat places and uh we'll see uh we'll see 1:44:46 if there's any news it you know like 1:44:48 like all things in our government they 1:44:50 want to get as much political bang out 1:44:52 of the buck as poss possible so you know 1:44:55 if there's going to be a repre it will 1:44:57 be at the last minute because you 1:45:00 know why not give 200 million people 1:45:06 anxiety you're the government yay you 1:45:10 did it everybody's shaking and crying 1:45:13 congratulations all right hope you had 1:45:16 fun tonight peace out bye